hiddink-ai
Official@hiddink-ai
Offers a structured harness for multi-agent orchestration, software development lifecycle enforcement, and rigorous technical evaluation of coding agent performance.
Agent Skills by hiddink-ai
Showing 124 vetted skills indexed across 1 GitHub repositories.
hiddink-aimock-harness-skill
Validate skill module integration and path resolution in the hiddink-harness framework.
hiddink-aimock-package-skill
Verify package-scoped skill discovery and execution in the hiddink-harness architecture.
hiddink-aimock-core-skill
Validate core-scoped skill loading and execution within the agent harness.
hiddink-aipr-auto-improve
Analyze pull request diffs for code quality, type safety, and documentation improvements.
hiddink-aihiddink-harness:npm-version
Automate npm package version bumps, changelogs, and git tags.
hiddink-airesearch
Orchestrate parallel multi-agent research workflows to generate ADOPT/ADAPT/AVOID taxonomy reports.
hiddink-aihada-scout
Monitor hada.io RSS feeds and create GitHub issues for matching articles.
hiddink-aihiddink-harness:audit-agents
Validate agent-to-skill and agent-to-guide symlink mappings in hiddink-harness.
hiddink-aispringboot-best-practices
Enforce Spring Boot 4.0 layered architecture and dependency injection standards for Java 25 applications.
hiddink-aitoken-efficiency-audit
Audit and optimize AI agent settings to minimize token consumption.
hiddink-aiqa-lead-routing
Route QA testing tasks to planner, writer, and engineer agents.
hiddink-aimemory-recall
Search and retrieve historical project context via semantic vector queries.
hiddink-aiskill-extractor
Analyze task execution trajectories and feedback memory to propose reusable skill modules.
hiddink-aidesign-shotgun
Generate four parallel design mockups for a specified component.
hiddink-aicve-triage
Automate CVE report triage with security analysis and remediation planning.
hiddink-aihiddink-harness:npm-publish
Automate npm package publication with pre-publish validation and registry deployment.
hiddink-aipipeline
Manage YAML-defined development pipelines with stateful resumption and error recovery.
hiddink-aimemory-save
Save session context with tasks, decisions, and code changes to claude-mem.
hiddink-aidev-refactor
Refactor source code across multiple programming languages with test validation.
hiddink-aideep-verify
Coordinate parallel expert agents to verify code changes across security, performance, and architecture.
hiddink-aiplaywright-compress
Compress verbose Playwright MCP tool outputs using Haiku summarization.
hiddink-aiairflow-best-practices
Guide Apache Airflow 3.x DAG authoring, testing, and production deployment.
hiddink-airtk-exec
Execute shell commands through the RTK proxy to generate compressed CLI output.
hiddink-airedis-best-practices
Guide Redis caching, data structure selection, and high-availability configuration.
Frequently Asked Questions About hiddink-ai
FAQPage SchemaWhat specific tasks can I perform using the hiddink-harness framework?▼
You can manage multi-agent orchestration, enforce spec-driven development, perform semantic code search, and execute rigorous evaluations of coding agent performance. The framework supports automated pull request improvements, dependency auditing, and structured release planning across various programming languages and infrastructure stacks.
Which personas benefit most from these technical capabilities?▼
Senior software engineers, technical architects, and platform reliability engineers benefit most. These capabilities are designed for teams managing complex, multi-agent development environments who require strict adherence to architectural standards, automated code quality gates, and quantitative performance metrics for their development processes.
What are the primary prerequisites for deploying these modules?▼
Deployment requires a local environment configured for the hiddink-harness architecture, including access to a compatible MCP server and standard git-based repository structures. Users must ensure their project directory contains the necessary YAML-defined pipeline configurations and adheres to the specified directory hierarchy for agent and skill discovery.